Visualize Live Bitbucket Data in Power BI (via CData Connect AI)

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect AI, you get access to Bitbucket data for visualizations, dashboards, and more. This article shows how to use CData Connect to create a live connection to Bitbucket, connect to Bitbucket data from Power BI and then create reports on Bitbucket data in Power BI.

Configure Bitbucket Connectivity for Power BI

Connectivity to Bitbucket from Power BI is made possible through CData Connect AI. To work with Bitbucket data from Power BI, we start by creating and configuring a Bitbucket connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Bitbucket" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Bitbucket.

   For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

   Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

   • Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
   • Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

   Authenticating to Bitbucket

   Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

   Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

   Creating a custom OAuth application

   From your Bitbucket account:

   1. Go to Settings (the gear icon) and select Workspace Settings.
   2. In the Apps and Features section, select OAuth Consumers.
   3. Click Add Consumer.
   4. Enter a name and description for your custom application.
   5. Set the callback URL:
      • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
      • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
   6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
   7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
   8. To save the new custom application, click Save.
   9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Bitbucket Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Bitbucket data from Power BI.

Query Bitbucket Tables

Follow the steps below to build a query to pull Bitbucket data into the report:

1. Open Power BI Desktop and click Get Data -> Online Services -> CData Connect AI and click "Connect"
2. Click "Sign in" and authenticate with your CData Connect AI account
3. After signing in, click "Connect"
4. Select tables in the Navigator dialog
5. Click Load to establish the connection to your Bitbucket data from Power BI

Create Bitbucket Data Visualizations

After connecting to the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Select the dimensions and measures you wish to visualize along with the chart type.

Click Refresh to synchronize your report with any changes to the data.

Live Access to Bitbucket Data from Data Applications

With CData Connect AI you have a direct connection to Bitbucket data from Power BI. You can import more data, create new visualizations, build reports, and more — all without replicating Bitbucket data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources (including Bitbucket) directly from your on-premise BI, reporting, ETL and other data applications, visit the CData Connect AI page and start a free trial.